[jira] [Closed] (MADLIB-1384) Change default num_components for SVM to max(100, 2*num_features)

["Frank McQuillan (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1384?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan closed MADLIB-1384.
-----------------------------------
    Resolution: Fixed

https://github.com/apache/madlib/pull/448

> Change default num_components for SVM to max(100, 2*num_features)
> -----------------------------------------------------------------
>
>                 Key: MADLIB-1384
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1384
>             Project: Apache MADlib
>          Issue Type: Improvement
>          Components: Module: Support Vector Machines
>            Reporter: Frank McQuillan
>            Priority: Major
>             Fix For: v1.17
>
>
> Currently 
> http://madlib.apache.org/docs/latest/group__grp__svm.html#kernel_params
> says
> {code}
> n_components
> Default: 2*num_features. The dimensionality of the transformed feature space. A larger value lowers the variance of the estimate of the kernel but requires more memory and takes longer to train.
> {code}
> but this produces poor decision boundaries for small num_features.  I suggest we change the default to 
> {code}
> n_components
> Default: max(100, 2*num_features). The dimensionality of the transformed feature space. A larger value lowers the variance of the estimate of the kernel but requires more memory and takes longer to train.
> {code}



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